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chore(rename): move llama_stack.distribution to llama_stack.core

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Ashwin Bharambe 2025-07-30 19:34:37 -07:00
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llama_stack/distribution/ui/README.md
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# (Experimental) LLama Stack UI
## Docker Setup
:warning: This is a work in progress.
## Developer Setup
1. Start up Llama Stack API server. More details [here](https://llama-stack.readthedocs.io/en/latest/getting_started/index.html).
```
llama stack build --template together --image-type conda
llama stack run together
```
2. (Optional) Register datasets and eval tasks as resources. If you want to run pre-configured evaluation flows (e.g. Evaluations (Generation + Scoring) Page).
```bash
llama-stack-client datasets register \
--dataset-id "mmlu" \
--provider-id "huggingface" \
--url "https://huggingface.co/datasets/llamastack/evals" \
--metadata '{"path": "llamastack/evals", "name": "evals__mmlu__details", "split": "train"}' \
--schema '{"input_query": {"type": "string"}, "expected_answer": {"type": "string", "chat_completion_input": {"type": "string"}}}'
```
```bash
llama-stack-client benchmarks register \
--eval-task-id meta-reference-mmlu \
--provider-id meta-reference \
--dataset-id mmlu \
--scoring-functions basic::regex_parser_multiple_choice_answer
```
3. Start Streamlit UI
```bash
uv run --with ".[ui]" streamlit run llama_stack/distribution/ui/app.py
```
## Environment Variables
| Environment Variable | Description | Default Value |
|----------------------------|------------------------------------|---------------------------|
| LLAMA_STACK_ENDPOINT | The endpoint for the Llama Stack | http://localhost:8321 |
| FIREWORKS_API_KEY | API key for Fireworks provider | (empty string) |
| TOGETHER_API_KEY | API key for Together provider | (empty string) |
| SAMBANOVA_API_KEY | API key for SambaNova provider | (empty string) |
| OPENAI_API_KEY | API key for OpenAI provider | (empty string) |